Classification of multi-temporal SAR images for rice crops using combined Entropy Decomposition and Support Vector Machine technique

Classification of multi-temporal SAR images for rice crops using combined Entropy Decomposition and Support Vector Machine technique

This paper presents a combined Entropy Decomposition and Support Vector Machine (EDSVM) technique for Synthetic Aperture Radar (SAR) image classification with the application on rice monitoring. The objective of this paper is to assess the use of multi-temporal data for the supervised classification...

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Bibliographic Details
Main Authors: Tan, Chue Poh, Koay, Jun Yi, Lim, Ka Sing, Ewe, Hong Tat, Chuah, Hean Teik
Format: Article
Language:English
Published: PIER 2007
Subjects:
T Technology (General)
QC Physics
Online Access:http://shdl.mmu.edu.my/3123/
http://shdl.mmu.edu.my/3123/1/Classification%20of%20multi-temporal%20SAR%20images%20for%20rice%20crops%20using%20combined%20Entropy%20Decomposition%20and%20Support%20Vector%20Machine%20technique.pdf

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http://shdl.mmu.edu.my/3123/
http://shdl.mmu.edu.my/3123/1/Classification%20of%20multi-temporal%20SAR%20images%20for%20rice%20crops%20using%20combined%20Entropy%20Decomposition%20and%20Support%20Vector%20Machine%20technique.pdf

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